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Reil [10]
3 years ago
9

Which procedure is recommended when cleaning inside a computer? Clean the hard drive heads with a cotton swab. Hold the CPU fan

to prevent it from spinning and blow it with compressed air. Remove the CPU before cleaning. Invert the can of compressed air while spraying.
Computers and Technology
1 answer:
ddd [48]3 years ago
8 0

Answer:

Hold the CPU fan so that it won't spin and blow this with compressed air.

Explanation:

While cleaning the computer system from the inner side then we have to follow some steps.

  • Firstly, shut down the system properly and remove it from the power supply.
  • Then, open the cabinet of the computer system.
  • Then, clean the internal parts of the system through simple air pressure and hold the CPU fan during that time to avoid spinning.
  • Clear the dirt layer using the can of compressed air over the cabinet fans.
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The Monte Carlo method is commonly used to approximate areas or volumes of shapes. In this problem, we will use Monte Carlo to f
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Answer:

import numpy as np

import matplotlib.pyplot as plt

def calculate_pi(x,y):

   points_in_circle=0

   for i in range(len(x)):

       if np.sqrt(x[i]**2+y[i]**2)<=1:

           points_in_circle+=1

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length=np.power(10,6)

x=np.random.rand(length)

y=np.random.rand(length)

pi=np.zeros(7)

sample_size=np.zeros(7)

for i in range(len(pi)):

   xs=x[:np.power(10,i)]

   ys=y[:np.power(10,i)]

   sample_size[i]=len(xs)

   pi_value=calculate_pi(xs,ys)

   pi[i]=pi_value

 

print("The value of pi at different sample size is")

print(pi)

plt.plot(sample_size,np.abs(pi-np.pi))

plt.xscale('log')

plt.yscale('log')

plt.xlabel('sample size')

plt.ylabel('absolute error')

plt.title('Error Vs Sample Size')

plt.show()

Explanation:

The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.

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